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通过整合基于靶点的高通量筛选和化学蛋白质组学方法从抗病毒草药中发现共价性严重急性呼吸综合征冠状病毒2(SARS-CoV-2)M蛋白抑制剂

Discovery of the covalent SARS-CoV-2 M inhibitors from antiviral herbs via integrating target-based high-throughput screening and chemoproteomic approaches.

作者信息

Zhang Ya-Ni, Zhu Guang-Hao, Liu Wei, Chen Xi-Xiang, Xie Yuan-Yuan, Xu Jian-Rong, Jiang Mei-Fang, Zhuang Xiao-Yu, Zhang Wei-Dong, Chen Hong-Zhuan, Ge Guang-Bo

机构信息

Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.

出版信息

J Med Virol. 2023 Nov;95(11):e29208. doi: 10.1002/jmv.29208.

Abstract

The main proteases (M ) are highly conserved cysteine-rich proteins that can be covalently modified by numerous natural and synthetic compounds. Herein, we constructed an integrative approach to efficiently discover covalent inhibitors of M from complex herbal matrices. This work begins with biological screening of 60 clinically used antiviral herbal medicines, among which Lonicera japonica Flos (LJF) demonstrated the strongest anti-M effect (IC  = 37.82 μg/mL). Mass spectrometry (MS)-based chemical analysis and chemoproteomic profiling revealed that LJF extract contains at least 50 constituents, of which 22 exhibited the capability to covalently modify M . We subsequently verified the anti-M effects of these covalent binders. Gallic acid and quercetin were found to potently inhibit severe acute respiratory syndrome coronavirus 2 M in dose- and time- dependent manners, with the IC values below 10 µM. The inactivation kinetics, binding affinity and binding mode of gallic acid and quercetin were further characterized by fluorescence resonance energy transfer, surface plasmon resonance, and covalent docking simulations. Overall, this study established a practical approach for efficiently discovering the covalent inhibitors of M from herbal medicines by integrating target-based high-throughput screening and MS-based assays, which would greatly facilitate the discovery of key antiviral constituents from medicinal plants.

摘要

主要蛋白酶(M)是高度保守的富含半胱氨酸的蛋白质,可被多种天然和合成化合物共价修饰。在此,我们构建了一种综合方法,以从复杂的草药基质中高效发现M的共价抑制剂。这项工作始于对60种临床使用的抗病毒草药进行生物学筛选,其中金银花(LJF)表现出最强的抗M作用(IC = 37.82μg/mL)。基于质谱(MS)的化学分析和化学蛋白质组学分析表明,LJF提取物至少含有50种成分,其中22种表现出共价修饰M的能力。我们随后验证了这些共价结合剂的抗M作用。发现没食子酸和槲皮素以剂量和时间依赖性方式有效抑制严重急性呼吸综合征冠状病毒2 M,IC值低于10μM。通过荧光共振能量转移、表面等离子体共振和共价对接模拟进一步表征了没食子酸和槲皮素的失活动力学、结合亲和力和结合模式。总体而言,本研究通过整合基于靶点的高通量筛选和基于MS的分析方法,建立了一种从草药中高效发现M共价抑制剂的实用方法,这将极大地促进从药用植物中发现关键抗病毒成分。

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